arrow
Return

A latent class analysis of depressive symptoms in youth from the Texas Youth Depression and Suicide Research Network (TX-YDSRN): Clinical and socio-ecological correlates

delete2026-08-01
delete0
delete
OA
AI
R
Rachel Lee
E
Erika S. Trent
K
Kevin M. Wagner
A
A. Castillo
A
Abu Minhajuddin
J
Joseph Blader
C
César A. Soutullo
D
Denise Baughn
H
Hadeel Hamdan
K
Kirti Saxena
R
Rachel A. Walker
DOI:10.1111/jcpp.70211delete
deleteOriginal
deleteShare
deleteSave
View PDF
Abstract

Abstract

En 中文
Adolescent depression is heterogeneous, yet many studies rely on aggregate symptom scores that may obscure meaningful differences in symptom presentation. Latent class analysis (LCA) offers a person-centered approach for identifying symptom subgroups, but few studies have examined depressive symptom classes longitudinally with attention to social determinants of health (SDoH). This study identified depressive symptom classes among youth with depression and/or suicidality, examined demographic, clinical, and socio-ecological correlates of class membership, and evaluated changes in psychological outcomes over 6 months.
Keywords:
Adolescence
depression
longitudinal studies
latent class analysis
social determinants of health
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

J
Journal of Child Psychology and Psychiatry
IF:
7
Papers:
4.6K
Citations:
2.3W

Organization

B
baylor college of medicine
Scholars:
3.8K
Papers: 1.4K
Citations: 0
U
University of Texas Medical Branch
Scholars:
853
Papers: 295
Citations: 1
T
the university of texas health houston
Scholars:
2
Papers: 1
Citations: 0
U
University of Texas at San Antonio
Scholars:
505
Papers: 328
Citations: 0
U
University of Texas Southwestern Medical Center
Scholars:
1.5K
Papers: 736
Citations: 4.4W
researcher View more organizations